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Tango of edge and cloud execution for reliability

Authors:

Shikhar Suryavansh,

Chandan Bothra,

Saurabh BagchiAuthors Info & Claims

MECC '19: Proceedings of the 4th Workshop on Middleware for Edge Clouds & Cloudlets

Pages 10 - 15

https://doi.org/10.1145/3366614.3368103

Published: 09 December 2019 Publication History

Abstract

The increasing cost of cloud services and the need for decentralization of servers has led to a rise of interest in Edge computing. Edge computing brings the servers closer to the end users which helps in reducing network latency. However, the presence of multiple edge servers adversely affects the reliability due to difficulty in maintenance of heterogeneous servers. This paper aims at evaluating the performance of various server configuration models in edge computing using EdgeCloudSim, a popular simulator for edge computing. The performance is evaluated in terms of service time and percentage of failed tasks for an Augmented Reality application.

We evaluated the performance of the following edge computing models, Exclusive: Mobile only, Edge only, Cloud only; and Hybrid: Edge & Cloud hybrid with load-balancing on the Edge, and Mobile & Edge hybrid. We analyzed the impact of variation of different parameters such as WAN bandwidth, cost of cloud resources, heterogeneity of edge servers, etc., on the performance of the edge computing models. We show that due to variation in the above parameters, the exclusive models are not sufficient for computational requirements and there is a need for hybrid edge computing models.

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Cited By

Kolosov OAktaş MSoljanin EYadgar G(2023)Theory vs. Practice in Modeling Edge Storage Systems2023 IEEE International Performance, Computing, and Communications Conference (IPCCC)10.1109/IPCCC59175.2023.10253868(313-322)Online publication date: 17-Nov-2023
https://doi.org/10.1109/IPCCC59175.2023.10253868
Pourreza MNarasimhan P(2023)A Survey of Faults and Fault-Injection Techniques in Edge Computing Systems2023 IEEE International Conference on Edge Computing and Communications (EDGE)10.1109/EDGE60047.2023.00021(63-71)Online publication date: Jul-2023
https://doi.org/10.1109/EDGE60047.2023.00021
Abilkaiyrkyzy AElhagry ALaamarti FSaddik A(2023)Metaverse Key Requirements and Platforms SurveyIEEE Access10.1109/ACCESS.2023.332584411(117765-117787)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3325844
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Index Terms

Tango of edge and cloud execution for reliability
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation evaluation
2. General and reference
  1. Cross-computing tools and techniques
    1. Performance
    2. Reliability

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Published In

cover image ACM Conferences

MECC '19: Proceedings of the 4th Workshop on Middleware for Edge Clouds & Cloudlets

December 2019

21 pages

ISBN:9781450370325

DOI:10.1145/3366614

General Chairs:
Rolando Martins
University of Porto, Portugal
,
Herve Paulino
University Nova of Lisbon, Portugal
,
Luis Veiga
Technical University of Lisbon, Portugal

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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ACM: Association for Computing Machinery

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USENIX Assoc: USENIX Assoc
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 December 2019

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Northrop Grumman Corporation
National Science Foundation

Conference

Middleware '19

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ACM

Middleware '19: 20th International Middleware Conference

December 9 - 13, 2019

California, Davis

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Overall Acceptance Rate 4 of 9 submissions, 44%

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Cited By

Kolosov OAktaş MSoljanin EYadgar G(2023)Theory vs. Practice in Modeling Edge Storage Systems2023 IEEE International Performance, Computing, and Communications Conference (IPCCC)10.1109/IPCCC59175.2023.10253868(313-322)Online publication date: 17-Nov-2023
https://doi.org/10.1109/IPCCC59175.2023.10253868
Pourreza MNarasimhan P(2023)A Survey of Faults and Fault-Injection Techniques in Edge Computing Systems2023 IEEE International Conference on Edge Computing and Communications (EDGE)10.1109/EDGE60047.2023.00021(63-71)Online publication date: Jul-2023
https://doi.org/10.1109/EDGE60047.2023.00021
Abilkaiyrkyzy AElhagry ALaamarti FSaddik A(2023)Metaverse Key Requirements and Platforms SurveyIEEE Access10.1109/ACCESS.2023.332584411(117765-117787)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3325844
Li BHe QCui GXia XChen FJin HYang Y(2022)READ: Robustness-Oriented Edge Application Deployment in Edge Computing EnvironmentIEEE Transactions on Services Computing10.1109/TSC.2020.301531615:3(1746-1759)Online publication date: 1-May-2022
https://doi.org/10.1109/TSC.2020.3015316
Runji JLee YChu C(2022)Systematic Literature Review on Augmented Reality-Based Maintenance Applications in Manufacturing Centered on Operator NeedsInternational Journal of Precision Engineering and Manufacturing-Green Technology10.1007/s40684-022-00444-w10:2(567-585)Online publication date: 7-Jun-2022
https://doi.org/10.1007/s40684-022-00444-w
Savaglio CFortino G(2021)A Simulation-driven Methodology for IoT Data Mining Based on Edge ComputingACM Transactions on Internet Technology10.1145/340244421:2(1-22)Online publication date: 3-Mar-2021
https://dl.acm.org/doi/10.1145/3402444
Aloi GFortino GGravina RPace PSavaglio C(2021)Simulation-Driven Platform for Edge-Based AAL SystemsIEEE Journal on Selected Areas in Communications10.1109/JSAC.2020.302154439:2(446-462)Online publication date: Feb-2021
https://doi.org/10.1109/JSAC.2020.3021544
Theera-Ampornpunt NSuryavansh SManchanda SPanta RJoshi KAmmar MChiang MBagchi SValois FJulien CMurphy AGnawali O(2020)AppStreamer: Reducing Storage Requirements of Mobile Games through Predictive StreamingProceedings of the 2020 International Conference on Embedded Wireless Systems and Networks10.5555/3400306.3400312(37-48)Online publication date: 17-Feb-2020
https://dl.acm.org/doi/10.5555/3400306.3400312
Akbar ALewis PWanner E(2020)A Self-Aware and Scalable Solution for Efficient Mobile-Cloud Hybrid RoboticsFrontiers in Robotics and AI10.3389/frobt.2020.001027Online publication date: 5-Aug-2020
https://doi.org/10.3389/frobt.2020.00102
Silva JMarques ELopes LSilva F(2020)Jay: Adaptive Computation Offloading for Hybrid Cloud Environments2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)10.1109/FMEC49853.2020.9144950(54-61)Online publication date: Apr-2020
https://doi.org/10.1109/FMEC49853.2020.9144950
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